Management Science: Decision-Making Through Systems Thinking

ISBN-13: 9780230316478 / Angielski / Miękka / 2012 / 608 str.

Hans Daellenbach

Opis

Written for a wide range of mathematical abilities this book emphasizes the conceptual aspects of decision-making rather than mathematical techniques or computer methods. It shows how hard 'OR' incorporates basic systems into its modelling process - then suggests how models incorporate the ambiguities of real world decision-making.

Spis treści

Preface.- Introduction.- PART I: SYSTEMS AND SYSTEMS THINKING: INTRODUCTION.- Systems Thinking and Systems Methodology.- Systems Concepts.- The Problem Situation.- System Models and Diagrams.- PART II: MANAGEMENT SCIENCE METHODOLOGIES: INTRODUCTION.- Overview of Hard OR Methodology.- Soft System Thinking.- Implementation and Code of Ethics.- PART III: ASSESSING COSTS AND BENEFITS, DEALING WITH TIME.- Relevant Costs and Benefits.- Discounted Cash Flows.- Decision Making Over Time.- PART IV: HARD MS/OR METHODS.- Marginal and Incremental Analysis.- Constrained Decision Making.- Multiple Constraints Linear Programming.- Uncertainty.- Waiting Lines: Stochastic Systems.- Simulation in Management Science.-  Decision and Risk Analysis.- Decisions with Multiple Objectives.- Bibliography.- Glossary of Technical Terms.- Index.

O autorze

HANS DAELLENBACH worked for several years as an operations researcher for Standard Oil of California after gaining his PhD. He taught at the Universities of California and Washington before joining the University of Canterbury, Christchurch, New Zealand, where he introduced Operations Research as a separate discipline. He launched the Canterbury MBA Program more than twenty-five years ago, and served as its first director.

DONALD McNICKLE is a senior lecturer in the Department of Management at the University of Canterbury, Christchurch, New Zealand.

SHANE DYE is a senior lecturer in Management Science at the University of Canterbury, Christchurch, New Zealand.

Blurb

Management Science provides a comprehensive, accessible overview of the subject, incorporating a broad set of approaches and tools. The authors explore both 'soft' and 'hard' methodologies and highlight conceptual aspects rather than the mathematics of the techniques or computer methods. The book is therefore suitable for students and readers with a wide range of mathematical abilities at both the undergraduate and MBA level.

The book bases management science within a clear systems thinking framework. Ideas and concepts are demonstrated with real-life examples and case studies. Readers are shown how decision making over time, under uncertainty, and subject to constraints, multiple objectives, and value and perception conflicts can be modelled, all within this system thinking framework.

The second edition of Management Science offers:
• an emphasis on problem formulation, indicating how management science and operational research techniques fit into the wider problem-solving process
• revised chapters on queuing, simulation, and problem structuring methods
• updated coverage of forecasting, linear and integer programming
• new sections on the role of management science consultants
• improved pedagogy, navigation and design
• up-to-date coverage of software
• real-world case studies, encouraging the reader to apply the concepts studied

Comprehensive student and lecturer resources are available at www.palgrave.com/business/daellenbach2.